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We’re on a journey to advance and democratize artificial intelligence through open source and open science. Do you think entire agents themselves be served through mcp, or is mcp primarily designed for integrating individual tools and actions within an agent's workflow? A blog post by vladislav guzey on hugging face

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It centralizes the model definition so that this definition is agreed upon across the ecosystem I understand that mcp serves as a standardized integration layer for ai agents to perform actions involving external data or tools Transformers is the pivot across frameworks

If a model definition is supported, it will be compatible with.

Hub & client libraries hub Distilbert (from huggingface), released together with the paper distilbert, a distilled version of bert Smaller, faster, cheaper and lighter by victor sanh, lysandre debut and thomas wolf. The hugging face hub is a platform with over 2m models, 500k datasets, and 1m demo apps (spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ml together

The hub works as a central place where anyone can explore, experiment, collaborate, and build technology with machine learning Are you ready to join the path towards open. Thank you for the insightful overview of mcp